Machine Learning Engineer III

Job Listing ID:

4487761

Job Title:

Machine Learning Engineer III Application Deadline:

Open Until Filled

Job Location:

Portland

Date Posted:

05/07/2026

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

Our Mission As the world's number 1 job site

• , our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (
• Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead.

You will own one of the team's major workstreams, help drive technical direction for the team, and guide other members of the team to achieve product/technical goals. On a daily basis, you will explore data and formulate problem statements, develop and deploy predictive models while monitoring them in production, and guide the team on the same. Additionally, you will partner with cross-functional teams, evangelize your team's work, and stay updated with the latest advancements in the field. Responsibilities Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience. Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology while partnering with other teams Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams. Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes. Mentor and grow other software engineers and Machine Learning Engineers across teams Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR). Skills/Competencies Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 years of related experience; or a Master's degree with a minimum of 6 years of experience; or a PhD with 3 years experience Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while partnering across teams Solid knowledge of data structures and algorithms Sense of ownership and accountability as a key contributor in the technical and product domains Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Excellent written and verbal communication in English, effective with technical and business audiences Salary Range Transparency Tier 1

• United States of America 163,000
• 245,000 USD per year Tier 2
• United States of America 182,000
• 272,000 USD per year Tier 3
• United States of America 199,000
• 299,000 USD per year Tier 4
• N/A Tier 5
• United States of America 227,000
• 341,000 USD per year Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role.

Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off poli...

Job Classification:

Mechanical Engineers Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A